Tootfinder

Monotonicity for generalized binomial coefficients and Jack positivity
Hong Chen, Siddhartha Sahi
https://arxiv.org/abs/2508.05759 https://arxiv.org/pdf/25…

Monotonicity for generalized binomial coefficients and Jack positivity
Binomial formulas for Schur polynomials and Jack polynomials were studied by Lascoux in 1978, and Kaneko, Okounkov--Olshanski and Lassalle in the 1990s. We prove that the associated binomial coefficients are monotone and derive some symmetric function inequalities, in particular, a Schur positivity and Jack positivity result. These inequalities are similar to those studied by Newton, Muirhead, Gantmacher, Cuttler--Greene--Skandera, Sra and Khare--Tao.

"‘I don’t expect to live a normal life’: how a Leeds teenager woke up with a Chinese bounty on her head"
https://www.theguardian.com/global-development/2025/aug/11/leeds-teenager-china-chloe-cheung-democracy-p…

Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
Abdulla AlKetbi, Patrick Yam, Gautier Marti, Raed Jaradat
https://arxiv.org/abs/2509.08001 https:/…

Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
Employee turnover is a critical challenge in financial markets, yet little is known about the role of professional networks in shaping career moves. Using the Hong Kong Securities and Futures Commission (SFC) public register (2007-2024), we construct temporal networks of 121,883 professionals and 4,979 firms to analyze and predict employee departures. We introduce a graph-based feature propagation framework that captures peer influence and organizational stability. Our analysis shows a contagio…

Degradation-Aware Model Predictive Control for Battery Swapping Stations under Energy Arbitrage
Ruochen Li (Department of Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong, China), Zhichao Chen (Department of Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong, China), Zhaoting Zhang (Department of Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong, China), Renjie Guo (Department of Decision Analytics and Operations, City Univers…

Degradation-Aware Model Predictive Control for Battery Swapping Stations under Energy Arbitrage
Battery swapping stations (BSS) offer a fast and scalable alternative to conventional electric vehicle (EV) charging, gaining growing policy support worldwide. However, existing BSS control strategies typically rely on heuristics or low-fidelity degradation models, limiting profitability and service level. This paper proposes BSS-MPC: a real-time, degradation-aware Model Predictive Control (MPC) framework for BSS operations to trade off economic incentives from energy market arbitrage and long-…

Lifetime-Aware Design of Item-Level Intelligence
Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jed Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi
https://arxiv.org/abs/2509.08193

Lifetime-Aware Design of Item-Level Intelligence
We present FlexiFlow, a lifetime-aware design framework for item-level intelligence (ILI) where computation is integrated directly into disposable products like food packaging and medical patches. Our framework leverages natively flexible electronics which offer significantly lower costs than silicon but are limited to kHz speeds and several thousands of gates. Our insight is that unlike traditional computing with more uniform deployment patterns, ILI applications exhibit 1000X variation in ope…

On design, analysis, and hybrid manufacturing of microstructured blade-like geometries
Pablo Antolin, Michael Barton, Georges-Pierre Bonneau, Annalisa Buffa, Amaia Calleja-Ochoa, Gershon Elber, Stefanie Elgeti, Gaizka G\'omez Escudero, Alicia Gonzalez, Haizea Gonz\'alez Barrio, Stefanie Hahmann, Thibaut Hirschler, Q Youn Honga, Konstantin Key, Myung-Soo Kim, Michael Kofler, Norberto Lopez de Lacalle, Silvia de la Maza, Kanika Rajain, Jacques Zwar

On design, analysis, and hybrid manufacturing of microstructured blade-like geometries
With the evolution of new manufacturing technologies such as multi-material 3D printing, one can think of new type of objects that consist of considerably less, yet heterogeneous, material, consequently being porous, lighter and cheaper, while having the very same functionality as the original object when manufactured from one single solid material. We aim at questioning five decades of traditional paradigms in geometric CAD and focus at new generation of CAD objects that are not solid, but con…

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- MF-PAM: Accurate Pitch Estimation through Periodicity Analysis and Multi-level Feature Fusion
Woo-Jin Chung, Doyeon Kim, Soo-Whan Chung, Hong-Goo Kang

Linear Recurrences from Counting Schreier-Type Multisets
Hung Viet Chu, Yubo Geng, Julian King, Steven J. Miller, Garrett Tresch, Zachary Louis Vasseur
https://arxiv.org/abs/2509.05158

Linear Recurrences from Counting Schreier-Type Multisets
A nonempty set $F$ is Schreier if $\min F\ge |F|$. Bird observed that counting Schreier sets in a certain way produces the Fibonacci sequence. Since then, various connections between variants of Schreier sets and well-known sequences have been discovered. Building on these works, we prove a linear recurrence for the sequence that counts multisets $F$ with $\min F\ge p|F|$. In particular, if we let $$\mathcal{A}^{(s)}_{p, n}\ :=\ \{F\subset \{\underbrace{1, \ldots, 1}_{s}, \l…

Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems
Wei-Hsing Huang, Jianwei Jia, Yuyao Kong, Faaiq Waqar, Tai-Hao Wen, Meng-Fan Chang, Shimeng Yu
https://arxiv.org/abs/2509.05937

Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems
Recent developments have introduced Kolmogorov-Arnold Networks (KAN), an innovative architectural paradigm capable of replicating conventional deep neural network (DNN) capabilities while utilizing significantly reduced parameter counts through the employment of parameterized B-spline functions with trainable coefficients. Nevertheless, the B-spline functional components inherent to KAN architectures introduce distinct hardware acceleration complexities. While B-spline function evaluation can b…